@COMMENT This file was generated by bib2html.pl version 0.94 @COMMENT written by Patrick Riley @COMMENT This file came from Freek Stulp's publication pages at @COMMENT http://www-clmc.usc.edu/~stulp/publications @InProceedings{stulp04agilo, title = {{AGILO RoboCuppers} 2004}, author = {Freek Stulp and Alexandra Kirsch and Suat Gedikli and Michael Beetz}, booktitle = {RoboCup International Symposium 2004}, year = {2004}, month = {July}, series = {Lisbon}, abstract = {The Agilo RoboCup team is the primary platform for our research on the semi-automatic acquisition of visuo-motoric plans. It is realized using inexpensive, off the shelf, easily extendible hardware components and a standard software environment. The control system of an autonomous soccer robot consists of a probabilistic game state estimator and a situated action selection module. The game state estimator computes the robot's belief state with respect to the current game situation. The action selection module selects actions according to specified goals as well as learned experiences. Automatic learning techniques made it possible to develop fast and skillful routines for approaching the ball, assigning roles, and performing coordinated plays.}, bib2html_pubtype = {Team Description Paper}, bib2html_rescat = {RoboCup}, file = {ROBOCUP-SYMP-04-AGILO-TDP-Stulp-etal.pdf:http\://www9.in.tum.de/publications/2004/ROBOCUP-SYMP-04-AGILO-TDP-Stulp-etal.pdf:PDF} }